1. Gyöngyi Kerekes Eötvös Lóránd University, Budapest MAGPOP 2008, Paris István Csabai László Dobos Márton Trencséni

2.  Estimate distances of stars  create 3 D maps  Explore the structure of Milky Way  Exponencial disks + power-law halo(es)  Dwarf galaxies (merging) and streams  Our goal: reproduce current distributions / find new structures  Improvements in outer regions, giants  Gaia (launch around 2011)

3. Colors (u-g, g-r,…) Stellar parameters (temperature, logg, [Fe/H], absolute magnitude) ? Colors (u-g, g-r,…)

4. Polinomial fit to main sequence: Mr=f(r-i)

5.  Non-parametric estimator  We use all magnitudes (colors) from SDSS  Nearest neighbors of a point in a 5D space  Weight the estimated parameters with an exponencial distribution  Can be adopted to other photometric systems

6.  MILES library  INDO-US library  Bright stars from SDSS  M67  NGC 2420  Total number of stars: 3392

7. MILES+ BaSeL  These libraries were targeted to stars with different stellar parameters  Synthetic magnitudes  Crossmatched with Hipparcos catalog  Challenges: ▪ wavelength coverage of spectra is not enough ▪ normalization of synthetic magnitudes

8.  No bright stars in SDSS!  Observations with Photometric Telescope (50 cm) to calibrate SDSS stars to USNO stars  Crossmatch with Hipparcos  117 stars

9.  First chosen as test objects  Turned out at estimation of distances that giants are overrepresented in the training set  After applying distance modulus from (Harris et al, 1996)  we added them to the TS. Extinction E(B-V) Distance modulus M670.39.61 (1) NGC24200.412.0 (2) (1): Anthony-Twarog et al, 2006 (2): An et al, 2007 b.

10. Mr r-i

11. g-r Mr Blue: our estimation Red: Juric, 2008 SDSS Stripe 82 (Image coadd catalog with improved photometry) ~420,000 stars

12. Applying Cartesian coordinate system: Blue: our estimation Red: Juric, 2008 Z (pc) Blue: Our estimation Red: Juric, 2008

14.  Stripe 82 in SDSS (~420,000 stars)

15.  Apply to all SDSS data  Calculate metallicity  Combine with kinematics (USNO, RAVE …)  GALEX crossmatch